Update backend.py, index.html, requirements.txt (#1180)

* Update backend.py

change to the model that received from user interactive from the web interface model selection.

* Update index.html

added Llama2 as a provider selection and also include the model selection for Llama2: llama2-70b, llama2-13b, llama2-7b

* Update requirements.txt

add asgiref to enable async for Flask in api.
"RuntimeError: Install Flask with the 'async' extra in order to use async views"

g4f/gui/client/html/index.html

@@ -130,9 +130,9 @@
                         <option value="google-bard">google-bard</option>
                         <option value="google-palm">google-palm</option>
                         <option value="bard">bard</option>
-                        <option value="falcon-40b">falcon-40b</option>
-                        <option value="falcon-7b">falcon-7b</option>
-                        <option value="llama-13b">llama-13b</option>
+						<option value="llama2-7b">llama2-7b</option>
+                        <option value="llama2-13b">llama2-13b</option>
+						<option value="llama2-70b">llama2-70b</option>
                         <option value="command-nightly">command-nightly</option>
                         <option value="gpt-neox-20b">gpt-neox-20b</option>
                         <option value="santacoder">santacoder</option>
@@ -188,7 +188,7 @@
                             <option value="g4f.Provider.Aibn">Aibn</option>
                             <option value="g4f.Provider.Bing">Bing</option>
                             <option value="g4f.Provider.You">You</option>
-                            <option value="g4f.Provider.H2o">H2o</option>
+                            <option value="g4f.Provider.Llama2">Llama2</option>
                             <option value="g4f.Provider.Aivvm">Aivvm</option>
                         </select>
                     </div>
@@ -203,4 +203,4 @@
     </script>
 </body>
 
-</html>
+</html>

g4f/gui/server/backend.py

@@ -56,7 +56,7 @@ class Backend_Api:
 
             def stream():
                 yield from g4f.ChatCompletion.create(
-                    model=g4f.models.gpt_35_long,
+                    model=model,
                     provider=get_provider(provider),
                     messages=messages,
                     stream=True,

requirements.txt

@@ -18,4 +18,5 @@ loguru
 tiktoken
 pillow
 platformdirs
-numpy
+numpy
+asgiref