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app (1).py

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+
+import cohere
+import gradio as gr
+from pypdf import PdfReader
+import os
+from loguru import logger
+import promptic
+
+# Initialize Cohere client with your API key
+cohere_client = cohere.Client(os.getenv("COHERE_API_KEY"))
+
+# Function to extract text from PDF
+def extract_text_from_pdf(pdf_file):
+    reader = PdfReader(pdf_file)
+    text = ""
+    for page in reader.pages:
+        text += page.extract_text()
+    return text
+
+# Function to convert PDF text to audio via Cohere
+def pdf_to_audio(pdf_file):
+    try:
+        text = extract_text_from_pdf(pdf_file)
+        
+        # Generate response using Cohere
+        response = cohere_client.generate(
+            model='xlarge',  # Change the model if necessary
+            prompt=text,
+            max_tokens=500  # Adjust based on your needs
+        )
+        generated_text = response.generations[0].text.strip()
+        
+        # You could add audio generation code here or use text-to-speech libraries
+        
+        return generated_text  # Returning text for now
+    except Exception as e:
+        logger.error(f"Error during PDF to audio conversion: {e}")
+        return "An error occurred while processing the PDF."
+
+# Gradio interface
+def gradio_interface(pdf_file):
+    return pdf_to_audio(pdf_file)
+
+# Launch the Gradio interface
+gr.Interface(fn=gradio_interface, inputs="file", outputs="text", title="PDF to Audio using Cohere").launch()

requirements (6).txt

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+
+gradio
+pandas
+pypdf
+loguru
+promptic
+tenacity
+cohere