Fix llama2 provider, Update TOC in readme (#1325)

README.md

@@ -22,36 +22,37 @@ docker pull hlohaus789/g4f
 
 ## 📚 Table of Contents
 
-- [🆕 What's New](#-whats-new)
+- [🆕 What's New](#-what-s-new)
 - [📚 Table of Contents](#-table-of-contents)
-- [🛠️ Getting Started](#️-getting-started)
-    - [Prerequisites:](#prerequisites)
-    - [Setting up the project:](#setting-up-the-project)
+- [🛠️ Getting Started](#-getting-started)
+    + [Docker container](#docker-container)
+      - [Quick start](#quick-start)
+    + [Use python package](#use-python-package)
+      - [Prerequisites](#prerequisites)
       - [Install using pypi](#install-using-pypi)
-      - [or](#or)
-      - [Setting up with Docker:](#setting-up-with-docker)
+    + [Docker for Developers](#docker-for-developers)
 - [💡 Usage](#-usage)
-  - [The `g4f` Package](#the-g4f-package)
-    - [ChatCompletion](#chatcompletion)
+  * [The `g4f` Package](#the-g4f-package)
+    + [ChatCompletion](#chatcompletion)
       - [Completion](#completion)
       - [Providers](#providers)
-      - [Cookies Required](#cookies-required)
+      - [Using Browser](#using-browser)
       - [Async Support](#async-support)
       - [Proxy and Timeout Support](#proxy-and-timeout-support)
-  - [Interference openai-proxy API (Use with openai python package)](#interference-openai-proxy-api-use-with-openai-python-package)
-    - [Run interference API from PyPi package](#run-interference-api-from-pypi-package)
-    - [Run interference API from repo](#run-interference-api-from-repo)
+  * [Interference openai-proxy API](#interference-openai-proxy-api-use-with-openai-python-package-)
+    + [Run interference API from PyPi package](#run-interference-api-from-pypi-package)
+    + [Run interference API from repo](#run-interference-api-from-repo)
 - [🚀 Providers and Models](#-providers-and-models)
-  - [GPT-4](#gpt-4)
-  - [GPT-3.5](#gpt-35)
-  - [Other](#other)
-  - [Models](#models)
+  * [GPT-4](#gpt-4)
+  * [GPT-3.5](#gpt-35)
+  * [Other](#other)
+  * [Models](#models)
 - [🔗 Related GPT4Free Projects](#-related-gpt4free-projects)
 - [🤝 Contribute](#-contribute)
-    - [Create Provider with AI Tool](#create-provider-with-ai-tool)
-    - [Create Provider](#create-provider)
+    + [Create Provider with AI Tool](#create-provider-with-ai-tool)
+    + [Create Provider](#create-provider)
 - [🙌 Contributors](#-contributors)
-- [©️ Copyright](#️-copyright)
+- [©️ Copyright](#-copyright)
 - [⭐ Star History](#-star-history)
 - [📄 License](#-license)
 
@@ -70,7 +71,7 @@ docker run -p 8080:80 -p 1337:1337 -p 7900:7900 --shm-size="2g" hlohaus789/g4f:l
 ```
 3. Open the included client on: [http://localhost:8080/chat/](http://localhost:8080/chat/)
 or set the api base in your client to: [http://localhost:1337/v1](http://localhost:1337/v1)
-4. (Optional) If you need to log in to a provider, you can open the desktop in the container here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret.
+4. (Optional) If you need to log in to a provider, you can view the desktop from the container here: http://localhost:7900/?autoconnect=1&resize=scale&password=secret.
 
 #### Use python package
 

docker-compose.yml

@@ -7,8 +7,8 @@ services:
     build:
       context: .
       dockerfile: docker/Dockerfile
-#    volumes:
-#      - .:/app
+    volumes:
+      - .:/app
     ports:
       - '8080:80'
       - '1337:1337'

g4f/Provider/Llama2.py

@@ -6,10 +6,9 @@ from ..typing import AsyncResult, Messages
 from .base_provider import AsyncGeneratorProvider
 
 models = {
-    "meta-llama/Llama-2-7b-chat-hf": {"name": "Llama 2 7B", "version": "d24902e3fa9b698cc208b5e63136c4e26e828659a9f09827ca6ec5bb83014381", "shortened":"7B"},
-    "meta-llama/Llama-2-13b-chat-hf": {"name": "Llama 2 13B", "version": "9dff94b1bed5af738655d4a7cbcdcde2bd503aa85c94334fe1f42af7f3dd5ee3", "shortened":"13B"},
-    "meta-llama/Llama-2-70b-chat-hf": {"name": "Llama 2 70B", "version": "2796ee9483c3fd7aa2e171d38f4ca12251a30609463dcfd4cd76703f22e96cdf", "shortened":"70B"},
-    "Llava": {"name": "Llava 13B", "version": "6bc1c7bb0d2a34e413301fee8f7cc728d2d4e75bfab186aa995f63292bda92fc", "shortened":"Llava"}
+    "meta-llama/Llama-2-7b-chat-hf": "meta/llama-2-7b-chat",
+    "meta-llama/Llama-2-13b-chat-hf": "meta/llama-2-13b-chat",
+    "meta-llama/Llama-2-70b-chat-hf": "meta/llama-2-70b-chat",
 }
 
 class Llama2(AsyncGeneratorProvider):
@@ -26,10 +25,9 @@ class Llama2(AsyncGeneratorProvider):
         **kwargs
     ) -> AsyncResult:
         if not model:
-            model = "meta-llama/Llama-2-70b-chat-hf"
-        elif model not in models:
-            raise ValueError(f"Model are not supported: {model}")
-        version = models[model]["version"]
+            model = "meta/llama-2-70b-chat"
+        elif model in models:
+            model = models[model]
         headers = {
             "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
             "Accept": "*/*",
@@ -50,7 +48,7 @@ class Llama2(AsyncGeneratorProvider):
             prompt = format_prompt(messages)
             data = {
                 "prompt": prompt,
-                "version": version,
+                "model": model,
                 "systemPrompt": kwargs.get("system_message", "You are a helpful assistant."),
                 "temperature": kwargs.get("temperature", 0.75),
                 "topP": kwargs.get("top_p", 0.9),