Update app.py

app.py

@@ -15,11 +15,9 @@ def transcribe(audio_path):
     with open(audio_path, "rb") as audio_file:
         audio_data = audio_file.read()
 
-    # Groq API endpoint for audio transcription
     groq_api_endpoint = "https://api.groq.com/openai/v1/audio/transcriptions"
-
     headers = {
-        "Authorization": "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",  # Replace with your actual API key
+        "Authorization": "Bearer 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",  # Replace with your actual API key
     }
 
     files = {
@@ -41,7 +39,7 @@ def transcribe(audio_path):
     else:
         error_msg = response.json().get("error", {}).get("message", "Unknown error.")
         print(f"API Error: {error_msg}")
-        return None  # Indicate failure
+        return create_error_pdf(f"API Error: {error_msg}")
 
 # Function to generate notes and questions
 def generate_notes(transcript):
@@ -66,7 +64,7 @@ def generate_notes(transcript):
     pdf_path = create_pdf(transcript, long_questions, short_questions, mcqs)
     return pdf_path
 
-# Function to create and save PDF
+# Function to create a PDF for transcription and questions
 def create_pdf(transcript, long_questions, short_questions, mcqs):
     pdf = FPDF()
     pdf.add_page()
@@ -109,18 +107,24 @@ def create_pdf(transcript, long_questions, short_questions, mcqs):
     
     return pdf_path
 
-# Gradio interface
-def gradio_interface(audio_path):
-    pdf_path = transcribe(audio_path)
-    if pdf_path:
-        return pdf_path
-    else:
-        return "Error: Unable to process the audio file. Please check the API key and try again."
+# Function to create an error PDF
+def create_error_pdf(message):
+    pdf = FPDF()
+    pdf.add_page()
+    pdf.set_font("Arial", "B", 16)
+    pdf.cell(200, 10, "Error Report", ln=True, align="C")
+    pdf.set_font("Arial", "", 12)
+    pdf.multi_cell(0, 10, message)
+    
+    error_pdf_path = "/mnt/data/error_report.pdf"
+    pdf.output(error_pdf_path)
+    return error_pdf_path
 
+# Gradio interface
 iface = gr.Interface(
-    fn=gradio_interface,
+    fn=transcribe,
     inputs=gr.Audio(type="filepath"),
-    outputs=gr.File(label="Download PDF with Notes and Questions"),
+    outputs=gr.File(label="Download PDF with Notes or Error Report"),
     title="Voice to Text Converter and Notes Generator",
 )