Update main.py

main.py

@@ -13,15 +13,67 @@ print(headers)
 app = Flask(__name__)
  
     
-@app.route('/')
+@app.route('/app')
 def server_home():
-    url = 'http://localhost:11434/api/generate'
+    
+
+    return str(headers)
 
-    form = {'model': 'mxbai-embed-large', 'prompt': 'Give the cosine similarity for each 1.Its a rainy day. 2. The news says it will rain 3. The cat pass across the street'}
 
-    x = requests.post(url, json = form) 
+# import asyncio
+
+# async def nested():
+#     return 42
+
+# async def main():
+#     # Nothing happens if we just call "nested()".
+#     # A coroutine object is created but not awaited,
+#     # so it *won't run at all*.
+#     nested()  # will raise a "RuntimeWarning".
 
-    return str(x)
+#     # Let's do it differently now and await it:
+#     print(await nested())  # will print "42".
+
+# asyncio.run(main())
+  
+if __name__=='__main__': 
+    app.run(debug=True)
+
+
+
+
+
+# import requests
+# import os
+# import asyncio
+
+# # from langchain_core.tools import Tool
+# # from langchain_google_community import GoogleSearchAPIWrapper
+
+# from flask import Flask
+
+
+# API_URL = "https://api-inference.huggingface.co/models/sentence-transformers/all-MiniLM-L6-v2"
+# bearer = "Bearer " + os.getenv('TOKEN')
+# headers = {"Authorization": bearer }
+# print("headers")
+# print(headers)
+
+# app = Flask(__name__)
+ 
+  
+# async def command_similarity():   
+#     payload = {"inputs": {"source_sentence": "That is a happy person","sentences": ["That is a happy dog","That is a very happy person","Today is a sunny day"]},}
+#     return str(  requests.post(API_URL, headers=headers, json=payload) )
+    
+# async def asynm1():
+#     return await command_similarity()
+    
+# @app.route('/app')
+# def server_home(): 
+#     asyncio.run(asynm1())
+#     print("command run")
+#     return asyncio.run(asynm1())
 
 
 # import asyncio
@@ -42,3 +94,4 @@ def server_home():
   
 if __name__=='__main__': 
     app.run(debug=True)
+