Update app.py
Browse files
app.py
CHANGED
@@ -60,9 +60,15 @@ def run_graph(input_message, history, user_details):
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logger.debug("Workflow response: %s", response)
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debug_logs.append(f"Workflow Response: {response}")
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else:
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q.put("The workflow did not return a valid response. Please try again.")
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except Exception as e:
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@@ -121,8 +127,10 @@ def visualize_bmi_and_calories(bmi, calories):
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# Save visualization to a temporary file
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temp_file = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
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return temp_file.name
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@@ -134,20 +142,21 @@ def calculate_calories(age, weight, height, activity_level, gender):
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bmr = 10 * weight + 6.25 * height - 5 * age - 161
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activity_multipliers = {
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}
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return bmr * activity_multipliers.get(activity_level, 1.2)
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# Interface Components
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with gr.Blocks() as demo:
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gr.Markdown("<strong>FIT.AI - Your Fitness and Wellbeing Coach</strong>")
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debug_logs = []
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with gr.Tabs():
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with gr.Tab("Visualization + Chat"):
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logger.debug("Workflow response: %s", response)
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debug_logs.append(f"Workflow Response: {response}")
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# Extract LLM response
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llm_response = None
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for msg in response.get("messages", []):
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if isinstance(msg, HumanMessage) and msg.name in ["nutritionist", "workout_coach"]:
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llm_response = msg.content
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break
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if llm_response:
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q.put(llm_response)
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else:
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q.put("The workflow did not return a valid response. Please try again.")
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except Exception as e:
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# Save visualization to a temporary file
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temp_file = tempfile.NamedTemporaryFile(suffix=".png", delete=False)
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try:
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plt.savefig(temp_file.name)
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finally:
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plt.close()
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return temp_file.name
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bmr = 10 * weight + 6.25 * height - 5 * age - 161
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activity_multipliers = {
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"sedentary": 1.2,
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"lightly active": 1.375,
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"moderately active": 1.55,
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"very active": 1.725,
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"extra active": 1.9,
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}
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activity_level = activity_level.lower()
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return bmr * activity_multipliers.get(activity_level, 1.2)
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# Interface Components
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with gr.Blocks() as demo:
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gr.Markdown("<strong>FIT.AI - Your Fitness and Wellbeing Coach</strong>")
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debug_logs = []
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with gr.Tabs():
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with gr.Tab("Visualization + Chat"):
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