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import gradio as gr
from openai import OpenAI
import requests
import json
from typing import List, Dict, Optional, Tuple
import random
class GifChatBot:
def __init__(self):
self.openai_client = None
self.giphy_key = None
self.chat_history = []
self.is_initialized = False
self.session = requests.Session()
# Define size constraints
self.MINIMUM_FILE_SIZE = 500 * 1024 # 500KB in bytes
self.MAXIMUM_FILE_SIZE = 5 * 1024 * 1024 # 5MB in bytes
self.MAX_RETRIES = 10 # Maximum number of retries for finding a good GIF
def verify_gif_size(self, gif_url: str) -> bool:
"""Verify if GIF meets size requirements"""
try:
# Do HEAD request to get content length
response = self.session.head(gif_url, timeout=3)
if response.status_code != 200:
return False
# Get content length
content_length = response.headers.get('content-length')
if not content_length:
return False
file_size = int(content_length)
return self.MINIMUM_FILE_SIZE <= file_size <= self.MAXIMUM_FILE_SIZE
except Exception as error:
print(f"Size verification error: {error}")
return False
def get_gif(self, search_query: str) -> Optional[str]:
"""Get a GIF meeting size requirements with retries"""
for attempt in range(self.MAX_RETRIES):
try:
# Calculate offset based on attempt number to get different results
offset = attempt * 10
params = {
'api_key': self.giphy_key,
'q': search_query,
'limit': 10,
'offset': offset,
'rating': 'pg-13'
}
response = self.session.get(
"https://api.giphy.com/v1/gifs/search",
params=params,
timeout=5
)
if response.status_code == 200:
data = response.json()
if data["data"]:
# Shuffle results for variety
gifs = list(data["data"])
random.shuffle(gifs)
# Try each GIF until we find one meeting size requirements
for gif in gifs:
gif_url = gif["images"]["original"]["url"]
if self.verify_gif_size(gif_url):
print(f"Found valid GIF on attempt {attempt + 1}")
return gif_url
print(f"No valid GIFs found in attempt {attempt + 1}, retrying...")
else:
print("No GIFs found in search")
break
except Exception as error:
print(f"Error in attempt {attempt + 1}: {error}")
continue
# If we get here, try trending as last resort
return self._get_trending_gif()
def _get_trending_gif(self) -> Optional[str]:
"""Get a trending GIF meeting size requirements"""
try:
params = {
'api_key': self.giphy_key,
'limit': 25,
'rating': 'pg-13'
}
response = self.session.get(
"https://api.giphy.com/v1/gifs/trending",
params=params,
timeout=5
)
if response.status_code == 200:
data = response.json()
if data["data"]:
gifs = list(data["data"])
random.shuffle(gifs)
for gif in gifs:
gif_url = gif["images"]["original"]["url"]
if self.verify_gif_size(gif_url):
print("Found valid trending GIF")
return gif_url
except Exception as error:
print(f"Trending GIF error: {error}")
return None
def setup_keys(self, openai_key: str, giphy_key: str) -> str:
"""Initialize API clients with user's keys"""
try:
self.openai_client = OpenAI(api_key=openai_key)
self.giphy_key = giphy_key
self._test_giphy_key()
self._test_openai_key()
self.is_initialized = True
return "β
Setup successful! Let's chat!"
except Exception as error:
self.is_initialized = False
return f"β Error setting up: {str(error)}"
def _test_giphy_key(self):
"""Test if GIPHY key is valid"""
response = self.session.get(
"https://api.giphy.com/v1/gifs/trending",
params={"api_key": self.giphy_key, "limit": 1}
)
if response.status_code != 200:
raise Exception("Invalid GIPHY API key")
def _test_openai_key(self):
"""Test if OpenAI key is valid"""
try:
self.openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "test"}],
max_tokens=5
)
except Exception:
raise Exception("Invalid OpenAI API key")
def reset_chat(self) -> Tuple[List[Dict[str, str]], str]:
"""Reset the chat history"""
self.chat_history = []
return [], ""
def format_message(self, role: str, content: str) -> Dict[str, str]:
"""Format message in the new Gradio chat format"""
return {"role": role, "content": content}
def chat(self, message: str, history: List[Dict[str, str]]) -> Tuple[str, List[Dict[str, str]], str]:
"""Main chat function with natural GIF integration"""
if not self.is_initialized:
return message, history, "Please set up your API keys first!"
if not message.strip():
return message, history, ""
try:
# System message emphasizing natural GIF usage
system_message = """You are a supportive, empathetic friend who uses GIFs naturally in conversation.
When using GIFs, keep search terms simple and contextual:
Examples:
- User feeling hungry -> [GIF: hungry]
- User feeling sad -> [GIF: comforting hug]
- User celebrating -> [GIF: celebration]
- User confused -> [GIF: confused]
Keep your responses:
1. Empathetic and natural
2. Context-aware (reference previous messages)
3. Use GIFs that match the emotion
Use 0-1 GIFs per message unless the moment really calls for more."""
# Prepare conversation history
messages = [{"role": "system", "content": system_message}]
for chat in history:
messages.append({"role": chat["role"], "content": chat["content"]})
messages.append({"role": "user", "content": message})
# Get AI response
response = self.openai_client.chat.completions.create(
model="gpt-4o-mini",
messages=messages,
temperature=0.9,
max_tokens=150
)
# Process response and insert GIFs
ai_message = response.choices[0].message.content
final_response = ""
parts = ai_message.split("[GIF:")
final_response += parts[0]
for part in parts[1:]:
gif_desc_end = part.find("]")
if gif_desc_end != -1:
gif_desc = part[:gif_desc_end].strip()
print(f"Searching for GIF: {gif_desc}")
gif_url = self.get_gif(gif_desc)
if gif_url:
final_response += f"\n\n"
print(f"Added GIF: {gif_url}")
final_response += part[gif_desc_end + 1:]
history.append(self.format_message("user", message))
history.append(self.format_message("assistant", final_response))
return "", history, ""
except Exception as error:
error_message = f"Oops! Something went wrong: {str(error)}"
return message, history, error_message
def create_interface():
"""Create the Gradio interface"""
bot = GifChatBot()
with gr.Blocks(theme=gr.themes.Soft()) as interface:
gr.Markdown("""
# π Friendly Chat Bot with GIFs
Chat with an empathetic AI friend who expresses themselves through GIFs!
Enter your API keys below to start.
""")
with gr.Row():
with gr.Column(scale=1):
openai_key = gr.Textbox(
label="OpenAI API Key",
placeholder="sk-...",
type="password",
scale=2
)
with gr.Column(scale=1):
giphy_key = gr.Textbox(
label="GIPHY API Key",
placeholder="Enter your GIPHY API key",
type="password",
scale=2
)
setup_button = gr.Button("Set up Keys", variant="primary")
setup_status = gr.Textbox(label="Setup Status")
chatbot = gr.Chatbot(
label="Chat",
bubble_full_width=False,
height=450,
type="messages"
)
with gr.Row():
with gr.Column(scale=4):
message_box = gr.Textbox(
label="Type your message",
placeholder="Say something...",
show_label=False,
container=False
)
with gr.Column(scale=1):
clear_button = gr.Button("Clear Chat", variant="secondary")
error_box = gr.Textbox(label="Error Messages", visible=True)
# Set up event handlers
setup_button.click(
bot.setup_keys,
inputs=[openai_key, giphy_key],
outputs=setup_status
)
message_box.submit(
bot.chat,
inputs=[message_box, chatbot],
outputs=[message_box, chatbot, error_box]
)
clear_button.click(
bot.reset_chat,
outputs=[chatbot, error_box]
)
gr.Markdown("""
### Tips:
- π€ Share how you're feeling - the AI responds empathetically
- π The conversation is context-aware
- π― GIFs are chosen to match the emotion
- π Use 'Clear Chat' to start fresh
""")
return interface
if __name__ == "__main__":
demo = create_interface()
demo.launch() |