Update app.py

app.py

@@ -7,8 +7,8 @@ from datetime import datetime
 import groq
 
 # API keys (replace with your keys or use environment variables)
-mistral_api_key = os.getenv("MISTRAL_API_KEY", "gz6lDXokxgR6cLY72oomALWcm7vhjRzQ")
-groq_api_key = os.getenv("GROQ_API_KEY", "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")
+mistral_api_key = os.getenv("MISTRAL_API_KEY", "your_mistral_api_key")
+groq_api_key = os.getenv("GROQ_API_KEY", "your_groq_api_key")
 
 # Initialize Groq client
 groq_client = groq.Client(api_key=groq_api_key)
@@ -28,13 +28,13 @@ def call_mistral_api(prompt):
     }
     try:
         response = requests.post(url, headers=headers, json=payload)
-        response.raise_for_status()  # Raise an error for bad status codes
+        response.raise_for_status()
         return response.json()['choices'][0]['message']['content']
     except requests.exceptions.HTTPError as err:
-        if response.status_code == 429:  # Rate limit exceeded
+        if response.status_code == 429:
             st.warning("Rate limit exceeded. Please wait a few seconds and try again.")
-            time.sleep(5)  # Wait for 5 seconds before retrying
-            return call_mistral_api(prompt)  # Retry the request
+            time.sleep(5)
+            return call_mistral_api(prompt)
         return f"HTTP Error: {err}"
     except Exception as err:
         return f"Error: {err}"
@@ -43,127 +43,32 @@ def call_mistral_api(prompt):
 def call_groq_api(prompt):
     try:
         response = groq_client.chat.completions.create(
-            model="llama-3.3-70b-versatile",  # Correct model name
-            messages=[
-                {"role": "user", "content": prompt}
-            ]
+            model="llama-3.3-70b-versatile",
+            messages=[{"role": "user", "content": prompt}]
         )
         return response.choices[0].message.content
     except Exception as err:
         st.error(f"Error: {err}")
         return f"Error: {err}"
 
-# Function to analyze a single requirement using both models
-def analyze_requirement(requirement):
-    # Use Mistral for classification and domain identification
-    type_prompt = f"Classify the following requirement as Functional or Non-Functional:\n\n{requirement}\n\nType:"
-    req_type = call_mistral_api(type_prompt).strip()
-
-    domain_prompt = f"Classify the domain for the following requirement (e.g., Bank, Healthcare, etc.):\n\n{requirement}\n\nDomain:"
-    domain = call_mistral_api(domain_prompt).strip()
-
-    # Use Groq for defect analysis and rewriting
-    defects_prompt = f"""Analyze the following requirement and identify ONLY MAJOR defects (e.g., Ambiguity, Incompleteness, etc.). 
-    If the requirement is clear and complete, respond with 'No defects.' 
-    Requirement: {requirement}
-    Defects:"""
-    defects = call_groq_api(defects_prompt).strip()
-
-    rewritten = rewrite_requirement(requirement, defects)
-
-    return {
-        "Requirement": requirement,
-        "Type": req_type,
-        "Domain": domain,
-        "Defects": defects,
-        "Rewritten": rewritten
-    }
-
-# Function to rewrite requirement concisely using Groq
-def rewrite_requirement(requirement, defects):
-    if "no defects" in defects.lower():
-        return "No modification needed."
-
-    prompt = f"""Rewrite the following requirement to address the defects listed below. Ensure the rewritten requirement is clear, concise, and free of defects. It should be no more than 1-2 sentences.
-    
-    Original Requirement: {requirement}
-    
-    Defects: {defects}
-    
-    Rewritten Requirement:"""
-    response = call_groq_api(prompt)
-    return response.strip()
-
-# Function to generate a PDF report
-def generate_pdf_report(results):
-    pdf = FPDF()
-    pdf.add_page()
-    pdf.set_font("Arial", size=12)
-
-    # Add watermark
-    pdf.set_font("Arial", 'B', 50)
-    pdf.set_text_color(230, 230, 230)  # Light gray color for watermark
-    pdf.rotate(45)  # Rotate the text for watermark effect
-    pdf.text(60, 150, "AI Powered Requirement Analysis")
-    pdf.rotate(0)  # Reset rotation
-
-    # Add title and date/time
-    pdf.set_font("Arial", 'B', 16)
-    pdf.set_text_color(0, 0, 0)  # Black color for title
-    pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
-    pdf.set_font("Arial", size=12)
-    pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
-    pdf.ln(10)  # Add some space
-
-    # Add requirements analysis
-    pdf.set_font("Arial", size=12)
-    for i, result in enumerate(results, start=1):
-        if pdf.get_y() > 250:  # If the content is near the bottom of the page
-            pdf.add_page()  # Add a new page
-            pdf.set_font("Arial", 'B', 16)
-            pdf.cell(200, 10, txt="AI Powered Requirement Analysis and Defect Detection", ln=True, align='C')
-            pdf.set_font("Arial", size=12)
-            pdf.cell(200, 10, txt=f"Report Generated on: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}", ln=True, align='C')
-            pdf.ln(10)  # Add some space
-
-        # Add requirement details
-        pdf.set_font("Arial", 'B', 14)
-        pdf.multi_cell(200, 10, txt=f"Requirement R{i}: {result['Requirement']}", align='L')
-        pdf.set_font("Arial", size=12)
-        pdf.multi_cell(200, 10, txt=f"Type: {result['Type']}", align='L')
-        pdf.multi_cell(200, 10, txt=f"Domain: {result['Domain']}", align='L')
-        pdf.multi_cell(200, 10, txt=f"Defects: {result['Defects']}", align='L')
-        pdf.multi_cell(200, 10, txt=f"Rewritten: {result['Rewritten']}", align='L')
-        pdf.multi_cell(200, 10, txt="-" * 50, align='L')
-        pdf.ln(5)  # Add some space between requirements
-
-    pdf_output = "requirements_report.pdf"
-    pdf.output(pdf_output)
-    return pdf_output
-
-# Streamlit app
+# Streamlit UI
 def main():
-    st.title("AI Powered Requirement Analysis and Defect Detection")
+    st.title("AI Powered Requirement Analysis")
     st.markdown("**Team Name:** Sadia, Areeba, Rabbia, Tesmia")
     st.markdown("**Models:** Mistral (Classification & Domain) + Groq (Defects & Rewriting)")
-
-    # Input requirements manually
-    input_text = st.text_area("Enter your requirements (one per line or separated by periods):")
-    requirements = []
-    if input_text:
-        requirements = [req.strip() for req in input_text.replace("\n", ".").split(".") if req.strip()]
-
-    # Analyze requirements
+    
+    input_text = st.text_area("Enter requirements (one per line or separated by periods):")
+    requirements = [req.strip() for req in input_text.replace("\n", ".").split(".") if req.strip()]
+    
     if st.button("Analyze Requirements"):
         if not requirements:
             st.warning("Please enter requirements.")
         else:
             results = []
             for req in requirements:
-                if req.strip():  # Ignore empty lines
+                if req.strip():
                     results.append(analyze_requirement(req.strip()))
-
-            # Display results
+            
             st.subheader("Analysis Results")
             for i, result in enumerate(results, start=1):
                 st.write(f"### Requirement R{i}: {result['Requirement']}")
@@ -173,17 +78,5 @@ def main():
                 st.write(f"**Rewritten:** {result['Rewritten']}")
                 st.write("---")
 
-            # Generate and download PDF report
-            pdf_report = generate_pdf_report(results)
-            with open(pdf_report, "rb") as f:
-                st.download_button(
-                    label="Download PDF Report",
-                    data=f,
-                    file_name="requirements_report.pdf",
-                    mime="application/pdf"
-                )
-
-# Run the app
 if __name__ == "__main__":
     main()
-