Update app.py

app.py

@@ -11,11 +11,11 @@ API_URL = "https://api.groq.com/openai/v1/chat/completions"  # Updated API URL
 
 def analyze_file(uploaded_file):
     try:
-        # Load the file into a pandas DataFrame
+        # Load the file into a pandas DataFrame from the uploaded file (in memory)
         if uploaded_file.name.endswith('.csv'):
-            df = pd.read_csv(uploaded_file.name)
+            df = pd.read_csv(uploaded_file)  # Read directly from memory
         elif uploaded_file.name.endswith('.xlsx'):
-            df = pd.read_excel(uploaded_file.name)
+            df = pd.read_excel(uploaded_file)  # Read directly from memory
         else:
             return "Error: The uploaded file is neither CSV nor Excel."
 
@@ -68,16 +68,16 @@ def analyze_file(uploaded_file):
             response = requests.post(API_URL, json=payload, headers=headers)
             if response.status_code == 200:
                 groq_analysis = response.json()["choices"][0]["message"]["content"]
+                st.write("Groq's Analysis:")
+                st.write(groq_analysis)
             else:
-                groq_analysis = f"Error: {response.status_code}, {response.text}"
-
-            return mean_gain, median_gain, std_dev_gain, fig, groq_analysis
+                st.write(f"Error: {response.status_code}, {response.text}")
         else:
             return "Error: Required columns 'Gain (dB)' or 'Frequency (GHz)' not found in the dataset."
 
     except Exception as e:
         # Return error message if something goes wrong
-        return f"An error occurred: {str(e)}"
+        st.write(f"An error occurred: {str(e)}")
 
 
 # Streamlit Interface