Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,3 @@
|
|
1 |
-
|
2 |
import streamlit as st
|
3 |
import requests
|
4 |
from fpdf import FPDF
|
@@ -16,6 +15,7 @@ groq_client = groq.Client(api_key=groq_api_key)
|
|
16 |
|
17 |
# Function to call Mistral API
|
18 |
def call_mistral_api(prompt):
|
|
|
19 |
url = "https://api.mistral.ai/v1/chat/completions"
|
20 |
headers = {
|
21 |
"Authorization": f"Bearer {mistral_api_key}",
|
@@ -30,18 +30,23 @@ def call_mistral_api(prompt):
|
|
30 |
try:
|
31 |
response = requests.post(url, headers=headers, json=payload)
|
32 |
response.raise_for_status() # Raise an error for bad status codes
|
33 |
-
|
|
|
|
|
|
|
|
|
34 |
except requests.exceptions.HTTPError as err:
|
35 |
if response.status_code == 429: # Rate limit exceeded
|
36 |
st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
|
37 |
time.sleep(5) # Wait for 5 seconds before retrying
|
38 |
return call_mistral_api(prompt) # Retry the request
|
39 |
-
return f"HTTP Error: {err}"
|
40 |
except Exception as err:
|
41 |
-
return f"Error: {err}"
|
42 |
|
43 |
# Function to call Groq API
|
44 |
def call_groq_api(prompt):
|
|
|
45 |
try:
|
46 |
response = groq_client.chat.completions.create(
|
47 |
model="llama-3.3-70b-versatile", # Correct model name
|
@@ -49,33 +54,49 @@ def call_groq_api(prompt):
|
|
49 |
{"role": "user", "content": prompt}
|
50 |
]
|
51 |
)
|
52 |
-
|
|
|
|
|
|
|
|
|
53 |
except Exception as err:
|
54 |
st.error(f"Error: {err}")
|
55 |
-
return f"Error: {err}"
|
56 |
|
57 |
# Function to analyze a single requirement using both models
|
58 |
def analyze_requirement(requirement):
|
59 |
# Use Mistral for classification and domain identification
|
60 |
type_prompt = f"Classify the following requirement as Functional or Non-Functional in one word:\n\n{requirement}\n\nType:"
|
61 |
-
req_type = call_mistral_api(type_prompt)
|
|
|
62 |
|
63 |
domain_prompt = f"Classify the domain for the following requirement in one word (e.g., E-commerce, Education, etc.):\n\n{requirement}\n\nDomain:"
|
64 |
-
domain = call_mistral_api(domain_prompt)
|
|
|
65 |
|
66 |
# Use Groq for defect analysis and rewriting
|
67 |
defects_prompt = f"""List ONLY the major defects in the following requirement (e.g., Ambiguity, Incompleteness, etc.) in 1-2 words each:\n\n{requirement}\n\nDefects:"""
|
68 |
-
defects = call_groq_api(defects_prompt)
|
|
|
69 |
|
70 |
rewritten_prompt = f"""Rewrite the following requirement in 1-2 sentences to address the defects:\n\n{requirement}\n\nRewritten:"""
|
71 |
-
rewritten = call_groq_api(rewritten_prompt)
|
|
|
72 |
|
73 |
return {
|
74 |
"Requirement": requirement,
|
75 |
"Type": req_type,
|
76 |
"Domain": domain,
|
77 |
"Defects": defects,
|
78 |
-
"Rewritten": rewritten
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
79 |
}
|
80 |
|
81 |
# Function to generate a PDF report
|
@@ -118,6 +139,14 @@ def generate_pdf_report(results):
|
|
118 |
pdf.multi_cell(200, 10, txt=f"Domain: {result['Domain']}", align='L')
|
119 |
pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
|
120 |
pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
121 |
pdf.multi_cell(200, 10, txt="-" * 50, align='L')
|
122 |
pdf.ln(5) # Add some space between requirements
|
123 |
|
@@ -155,6 +184,14 @@ def main():
|
|
155 |
st.write(f"**Domain:** {result['Domain']}")
|
156 |
st.write(f"**Defects:** {result['Defects']}")
|
157 |
st.write(f"**Rewritten:** {result['Rewritten']}")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
158 |
st.write("---")
|
159 |
|
160 |
# Generate and download PDF report
|
@@ -169,5 +206,4 @@ def main():
|
|
169 |
|
170 |
# Run the app
|
171 |
if __name__ == "__main__":
|
172 |
-
main()
|
173 |
-
|
|
|
|
|
1 |
import streamlit as st
|
2 |
import requests
|
3 |
from fpdf import FPDF
|
|
|
15 |
|
16 |
# Function to call Mistral API
|
17 |
def call_mistral_api(prompt):
|
18 |
+
start_time = time.time()
|
19 |
url = "https://api.mistral.ai/v1/chat/completions"
|
20 |
headers = {
|
21 |
"Authorization": f"Bearer {mistral_api_key}",
|
|
|
30 |
try:
|
31 |
response = requests.post(url, headers=headers, json=payload)
|
32 |
response.raise_for_status() # Raise an error for bad status codes
|
33 |
+
end_time = time.time()
|
34 |
+
speed = end_time - start_time
|
35 |
+
content = response.json()['choices'][0]['message']['content']
|
36 |
+
confidence = len(content.split()) # Simulate confidence with response length
|
37 |
+
return content, speed, confidence
|
38 |
except requests.exceptions.HTTPError as err:
|
39 |
if response.status_code == 429: # Rate limit exceeded
|
40 |
st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
|
41 |
time.sleep(5) # Wait for 5 seconds before retrying
|
42 |
return call_mistral_api(prompt) # Retry the request
|
43 |
+
return f"HTTP Error: {err}", 0, 0
|
44 |
except Exception as err:
|
45 |
+
return f"Error: {err}", 0, 0
|
46 |
|
47 |
# Function to call Groq API
|
48 |
def call_groq_api(prompt):
|
49 |
+
start_time = time.time()
|
50 |
try:
|
51 |
response = groq_client.chat.completions.create(
|
52 |
model="llama-3.3-70b-versatile", # Correct model name
|
|
|
54 |
{"role": "user", "content": prompt}
|
55 |
]
|
56 |
)
|
57 |
+
end_time = time.time()
|
58 |
+
speed = end_time - start_time
|
59 |
+
content = response.choices[0].message.content
|
60 |
+
confidence = len(content.split()) # Simulate confidence with response length
|
61 |
+
return content, speed, confidence
|
62 |
except Exception as err:
|
63 |
st.error(f"Error: {err}")
|
64 |
+
return f"Error: {err}", 0, 0
|
65 |
|
66 |
# Function to analyze a single requirement using both models
|
67 |
def analyze_requirement(requirement):
|
68 |
# Use Mistral for classification and domain identification
|
69 |
type_prompt = f"Classify the following requirement as Functional or Non-Functional in one word:\n\n{requirement}\n\nType:"
|
70 |
+
req_type, type_speed, type_confidence = call_mistral_api(type_prompt)
|
71 |
+
req_type = req_type.strip()
|
72 |
|
73 |
domain_prompt = f"Classify the domain for the following requirement in one word (e.g., E-commerce, Education, etc.):\n\n{requirement}\n\nDomain:"
|
74 |
+
domain, domain_speed, domain_confidence = call_mistral_api(domain_prompt)
|
75 |
+
domain = domain.strip()
|
76 |
|
77 |
# Use Groq for defect analysis and rewriting
|
78 |
defects_prompt = f"""List ONLY the major defects in the following requirement (e.g., Ambiguity, Incompleteness, etc.) in 1-2 words each:\n\n{requirement}\n\nDefects:"""
|
79 |
+
defects, defects_speed, defects_confidence = call_groq_api(defects_prompt)
|
80 |
+
defects = defects.strip()
|
81 |
|
82 |
rewritten_prompt = f"""Rewrite the following requirement in 1-2 sentences to address the defects:\n\n{requirement}\n\nRewritten:"""
|
83 |
+
rewritten, rewritten_speed, rewritten_confidence = call_groq_api(rewritten_prompt)
|
84 |
+
rewritten = rewritten.strip()
|
85 |
|
86 |
return {
|
87 |
"Requirement": requirement,
|
88 |
"Type": req_type,
|
89 |
"Domain": domain,
|
90 |
"Defects": defects,
|
91 |
+
"Rewritten": rewritten,
|
92 |
+
"Type_Speed": type_speed,
|
93 |
+
"Type_Confidence": type_confidence,
|
94 |
+
"Domain_Speed": domain_speed,
|
95 |
+
"Domain_Confidence": domain_confidence,
|
96 |
+
"Defects_Speed": defects_speed,
|
97 |
+
"Defects_Confidence": defects_confidence,
|
98 |
+
"Rewritten_Speed": rewritten_speed,
|
99 |
+
"Rewritten_Confidence": rewritten_confidence
|
100 |
}
|
101 |
|
102 |
# Function to generate a PDF report
|
|
|
139 |
pdf.multi_cell(200, 10, txt=f"Domain: {result['Domain']}", align='L')
|
140 |
pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
|
141 |
pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
|
142 |
+
pdf.multi_cell(200, 10, txt=f"Type Speed: {result['Type_Speed']:.2f}s", align='L')
|
143 |
+
pdf.multi_cell(200, 10, txt=f"Type Confidence: {result['Type_Confidence']}", align='L')
|
144 |
+
pdf.multi_cell(200, 10, txt=f"Domain Speed: {result['Domain_Speed']:.2f}s", align='L')
|
145 |
+
pdf.multi_cell(200, 10, txt=f"Domain Confidence: {result['Domain_Confidence']}", align='L')
|
146 |
+
pdf.multi_cell(200, 10, txt=f"Defects Speed: {result['Defects_Speed']:.2f}s", align='L')
|
147 |
+
pdf.multi_cell(200, 10, txt=f"Defects Confidence: {result['Defects_Confidence']}", align='L')
|
148 |
+
pdf.multi_cell(200, 10, txt=f"Rewritten Speed: {result['Rewritten_Speed']:.2f}s", align='L')
|
149 |
+
pdf.multi_cell(200, 10, txt=f"Rewritten Confidence: {result['Rewritten_Confidence']}", align='L')
|
150 |
pdf.multi_cell(200, 10, txt="-" * 50, align='L')
|
151 |
pdf.ln(5) # Add some space between requirements
|
152 |
|
|
|
184 |
st.write(f"**Domain:** {result['Domain']}")
|
185 |
st.write(f"**Defects:** {result['Defects']}")
|
186 |
st.write(f"**Rewritten:** {result['Rewritten']}")
|
187 |
+
st.write(f"**Type Speed:** {result['Type_Speed']:.2f}s")
|
188 |
+
st.write(f"**Type Confidence:** {result['Type_Confidence']}")
|
189 |
+
st.write(f"**Domain Speed:** {result['Domain_Speed']:.2f}s")
|
190 |
+
st.write(f"**Domain Confidence:** {result['Domain_Confidence']}")
|
191 |
+
st.write(f"**Defects Speed:** {result['Defects_Speed']:.2f}s")
|
192 |
+
st.write(f"**Defects Confidence:** {result['Defects_Confidence']}")
|
193 |
+
st.write(f"**Rewritten Speed:** {result['Rewritten_Speed']:.2f}s")
|
194 |
+
st.write(f"**Rewritten Confidence:** {result['Rewritten_Confidence']}")
|
195 |
st.write("---")
|
196 |
|
197 |
# Generate and download PDF report
|
|
|
206 |
|
207 |
# Run the app
|
208 |
if __name__ == "__main__":
|
209 |
+
main()
|
|