Merge branch 'main' of https://huggingface.co/spaces/TeamTonic/MultiMed

app.py

@@ -10,6 +10,7 @@ import json
 import dotenv
 from scipy.io.wavfile import write
 import PIL
+from openai import OpenAI
 dotenv.load_dotenv()
 
 client = Client("facebook/seamless_m4t")
@@ -232,7 +233,19 @@ def process_and_query(text=None, image=None, audio=None):
         # Now, use the text (either provided by the user or obtained from OpenAI) to query Vectara
         vectara_response_json = query_vectara(text)
         markdown_output = convert_to_markdown(vectara_response_json)
-        return markdown_output + text
+        client = OpenAI()
+        prompt ="Answer in the same language, write it better, more understandable and shorter:"
+        markdown_output_final = markdown_output
+
+        completion = client.chat.completions.create(
+          model="gpt-3.5-turbo",
+          messages=[
+            {"role": "system", "content": prompt},
+            {"role": "user", "content": markdown_output_final}
+          ]
+        )
+        final_response= completion.choices[0].message.content
+        return final_response
     except Exception as e:
         return str(e)